march.Dcmm-class: A Double Chain Markov Model (DCMM).

Description Details Slots See Also

Description

This class describes a Double Chain Markov Model (DCMM) represented by Pi, the probability distributions of the first hidden states; by A, the transition matrix between hidden states; by RB, the transition matrix between sucessive output. march. Dcmm extends march.Model-class class and therefore inherits its slots.

Details

The model used here is described in :

Slots

Pi:

A 3D matrix of numeric representing the probability distribution of the first hidden state.

A:

A matrix of numeric representing the transition matrix between hidden states.

RB:

A 3D matrix of numeric representing the transition matrix between successive output, in a reduced form.

M:

An integer value representing the number of hidden state.

orderVC:

An integer value representing the order of the visible Markov chain.

orderHC:

An integer value representing the order of the hidden Markov chain.

Amodel:

A vector of character string representing the modeling of the hidden transition matrix (complete, mtd or mtdg)

Cmodel:

A vector of character string representing the modeling of the visible transition matrix (complete, mtd or mtdg)

See Also

march.dcmm.construct, march.Model-class.


march documentation built on Nov. 26, 2020, 3:01 p.m.